Natalia Isaenko

414 total citations
19 papers, 305 citations indexed

About

Natalia Isaenko is a scholar working on Building and Construction, Transportation and Control and Systems Engineering. According to data from OpenAlex, Natalia Isaenko has authored 19 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Building and Construction, 12 papers in Transportation and 8 papers in Control and Systems Engineering. Recurrent topics in Natalia Isaenko's work include Traffic Prediction and Management Techniques (15 papers), Transportation Planning and Optimization (12 papers) and Traffic control and management (8 papers). Natalia Isaenko is often cited by papers focused on Traffic Prediction and Management Techniques (15 papers), Transportation Planning and Optimization (12 papers) and Traffic control and management (8 papers). Natalia Isaenko collaborates with scholars based in Italy and United States. Natalia Isaenko's co-authors include Gaetano Fusco, Chiara Colombaroni, Stefano Carrese, Raffaele Mauro, Marco Petrelli, Marco Guerrieri, Andrea Gemma, Livia Mannini, Umberto Crisalli and Ernesto Cipriani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Transportation Research Part C Emerging Technologies and Transport Policy.

In The Last Decade

Natalia Isaenko

19 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Natalia Isaenko Italy 9 208 208 136 55 26 19 305
Yuanli Gu China 7 240 1.2× 329 1.6× 242 1.8× 40 0.7× 31 1.2× 21 382
Shanglu He China 10 249 1.2× 240 1.2× 196 1.4× 76 1.4× 24 0.9× 35 354
Wenchen Yang China 7 216 1.0× 243 1.2× 183 1.3× 28 0.5× 26 1.0× 18 328
Mehmet Ali Silgu Türkiye 11 190 0.9× 157 0.8× 217 1.6× 104 1.9× 25 1.0× 20 311
Steven Logghe Belgium 12 275 1.3× 191 0.9× 253 1.9× 83 1.5× 25 1.0× 24 394
Bill Eisele 5 215 1.0× 171 0.8× 172 1.3× 155 2.8× 42 1.6× 8 374
Ciprian Alecsandru Canada 8 239 1.1× 249 1.2× 283 2.1× 117 2.1× 28 1.1× 35 424
Clas Rydergren Sweden 11 246 1.2× 113 0.5× 94 0.7× 59 1.1× 12 0.5× 37 302
B. Anil Kumar India 13 339 1.6× 351 1.7× 146 1.1× 48 0.9× 16 0.6× 36 411

Countries citing papers authored by Natalia Isaenko

Since Specialization
Citations

This map shows the geographic impact of Natalia Isaenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Natalia Isaenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Isaenko more than expected).

Fields of papers citing papers by Natalia Isaenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Isaenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Natalia Isaenko. The network helps show where Natalia Isaenko may publish in the future.

Co-authorship network of co-authors of Natalia Isaenko

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Isaenko. A scholar is included among the top collaborators of Natalia Isaenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalia Isaenko. Natalia Isaenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Isaenko, Natalia, et al.. (2024). Statistical and Clustering-Based Assessment of Variable Speed Limits Effects on Motorway Performance from Real-World Observations. SHILAP Revista de lepidopterología. 4(2). 409–428. 1 indexed citations
2.
Colombaroni, Chiara, Gaetano Fusco, & Natalia Isaenko. (2023). Meta-heuristic aggregate calibration of transport models exploiting data collected in mobility. Case Studies on Transport Policy. 13. 101039–101039. 2 indexed citations
3.
Carrese, Stefano, Ernesto Cipriani, Chiara Colombaroni, et al.. (2021). Analysis and monitoring of post-COVID mobility demand in Rome resulting from the adoption of sustainable mobility measures. Transport Policy. 111. 197–215. 18 indexed citations
4.
Colombaroni, Chiara, et al.. (2021). Hybrid Metaheuristic Approach to Solve the Problem of Containers Reshuffling in an Inland Terminal. Transportation research procedia. 52. 35–42. 1 indexed citations
5.
Guerrieri, Marco, et al.. (2021). Road Design Criteria and Capacity Estimation Based on Autonomous Vehicles Performances. First Results from the European C-Roads Platform and A22 Motorway. Transport and Telecommunication Journal. 22(2). 230–243. 9 indexed citations
6.
Colombaroni, Chiara, et al.. (2021). Investigation and Modeling on Drivers’ Route and Departure Time Choices from a Big Data Set of Floating Car Data. IRIS Research product catalog (Sapienza University of Rome). 1–7. 2 indexed citations
7.
Colombaroni, Chiara, Gaetano Fusco, & Natalia Isaenko. (2021). Modeling Car Following with Feed-Forward and Long-Short Term Memory Neural Networks. Transportation research procedia. 52. 195–202. 5 indexed citations
8.
D’Apuzzo, Mauro, Gaetano Fusco, Vittorio Nicolosi, et al.. (2021). Toward the development of a hybrid approach to speed estimation in urban and rural areas. Traffic Injury Prevention. 22(6). 449–454. 2 indexed citations
9.
Colombaroni, Chiara, Gaetano Fusco, & Natalia Isaenko. (2020). Coherence analysis of road safe speed and driving behaviour from floating car data. IET Intelligent Transport Systems. 14(9). 985–992. 7 indexed citations
10.
Colombaroni, Chiara, Gaetano Fusco, & Natalia Isaenko. (2020). Analysis of Road Safety Speed from Floating Car Data. Transportation research procedia. 45. 898–905. 8 indexed citations
11.
Carrese, Stefano, Ernesto Cipriani, Chiara Colombaroni, et al.. (2020). On Transport Monitoring and Forecasting During COVID-19 Pandemic in Rome. Transport and Telecommunication Journal. 21(4). 275–284. 5 indexed citations
12.
Colombaroni, Chiara, Gaetano Fusco, & Natalia Isaenko. (2020). A Simulation-Optimization Method for Signal Synchronization with Bus Priority and Driver Speed Advisory to Connected Vehicles. Transportation research procedia. 45. 890–897. 18 indexed citations
13.
Fusco, Gaetano, et al.. (2018). Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area. IET Intelligent Transport Systems. 12(4). 270–278. 23 indexed citations
14.
Attanasi, Alessandro, et al.. (2017). A hybrid method for real-time short-term predictions of traffic flows in urban areas. IRIS Research product catalog (Sapienza University of Rome). 878–883. 6 indexed citations
15.
Colombaroni, Chiara, Gaetano Fusco, Natalia Isaenko, & Luca Quadrifoglio. (2017). Optimization of container operations at inland intermodal terminals. IRIS Research product catalog (Sapienza University of Rome). 20. 69–74. 2 indexed citations
16.
Isaenko, Natalia, Chiara Colombaroni, & Gaetano Fusco. (2017). Traffic dynamics estimation by using raw floating car data. IRIS Research product catalog (Sapienza University of Rome). 704–709. 11 indexed citations
17.
Fusco, Gaetano, Chiara Colombaroni, & Natalia Isaenko. (2016). Short-term speed predictions exploiting big data on large urban road networks. Transportation Research Part C Emerging Technologies. 73. 183–201. 115 indexed citations
18.
Fusco, Gaetano, Chiara Colombaroni, & Natalia Isaenko. (2016). Comparative analysis of implicit models for real‐time short‐term traffic predictions. IET Intelligent Transport Systems. 10(4). 270–278. 17 indexed citations
19.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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